Posted February 20Feb 20 The need to efficiently search and retrieve documents based on their semantic content is more important than ever—especially when building Generative AI systems that implement the Retrieval Augmented Generation (RAG) design pattern. One robust approach to achieve this is by using vector representations of text data. These vectors, generated using advanced embedding models like Azure […] The article Enhanced In-Memory Text Vector Search in .NET with SharpVector and OpenAI Embeddings was originally published on Build5Nines. To stay up-to-date, Subscribe to the Build5Nines Newsletter. View the full article
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